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Books > Science & Mathematics > Biology, life sciences > Life sciences: general issues > Genetics (non-medical) > DNA
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A New Kind of Computational Biology - Cellular Automata Based Models for Genomics and Proteomics (Hardcover, 1st ed. 2018)
Loot Price: R2,018
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A New Kind of Computational Biology - Cellular Automata Based Models for Genomics and Proteomics (Hardcover, 1st ed. 2018)
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This book reflects more than three decades of research on Cellular
Automata (CA), and nearly a decade of work on the application of CA
to model biological strings, which forms the foundation of 'A New
Kind of Computational Biology' pioneered by the start-up, CARLBio.
After a brief introduction on Cellular Automata (CA) theory and
functional biology, it reports on the modeling of basic biological
strings with CA, starting with the basic nucleotides leading to
codon and anti-codon CA models. It derives a more involved CA model
of DNA, RNA, the entire translation process for amino acid
formation and the evolution of protein to its unique structure and
function. In subsequent chapters the interaction of Proteins with
other bio-molecules is also modeled. The only prior knowledge
assumed necessary is an undergraduate knowledge of computer
programming and biology. The book adopts a hands-on,
"do-it-yourself" approach to enable readers to apply the method
provided to derive the CA rules and comprehend how these are
related to the physical 'rules' observed in biology. In a single
framework, the authors have presented two branches of science -
Computation and Biology. Instead of rigorous molecular dynamics
modeling, which the authors describe as a Bottoms-Up model, or
relying on the Top-Down new age Artificial Intelligence (AI) and
Machine Language (ML) that depends on extensive availability of
quality data, this book takes the best from both the Top-Down and
Bottoms-up approaches and establishes how the behavior of complex
molecules is represented in CA. The CA rules are derived from the
basic knowledge of molecular interaction and construction observed
in biological world but mapped to a few subset of known results to
derive and predict results. This book is useful for students,
researchers and industry practitioners who want to explore modeling
and simulation of the physical world complex systems from a
different perspective. It raises the inevitable the question - 'Are
life and the universe nothing but a collection of continuous
systems processing information'.
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